Using Homomorphic Encryption For Privacy-Preserving Collaborative Decision Tree Classification

To conduct data mining, we often need to collect data from various parties. Privacy concerns may prevent the parties from directly sharing the data. A challenging problem is how multiple parties collaboratively conduct data mining without breaching data privacy. The goal of this paper is to provide solutions for privacy-preserving decision tree classification which is one of data mining tasks. Our goal is to obtain accurate data mining results without disclosing private data